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This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - dont miss it!
we are building a real-time AI runtime platform for security algorithms running inline across our global cloud and physical PoPs.
We are looking for an AI Platform Engineer to help build the infrastructure that powers high-throughput, low-latency AI security decisions in production.
You will work on a runtime engine that combines GPU-based models, from MMBERT-style models to LLMs, with CPU-based heuristics and security logic, optimized for scale, performance, reliability, and real-time execution. This is a versatile engineering role that spans AI runtime infrastructure, high-performance backend development, GPU inference, model lifecycle, and close collaboration with research teams to bring AI security algorithms into production.
Responsibilities
Build our companys AI security runtime platform for high-throughput, low-latency production serving.
Develop infrastructure for model serving, multi-model orchestration, and inline decision flows.
Optimize inference performance: batching, caching, streaming, GPU utilization, memory usage, and runtime acceleration.
Build backend orchestration and performance-critical services in Go.
Support the model lifecycle: registry integration, packaging, versioning, deployment, monitoring, and operational health.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.

Our Product Engineering group is looking for a highly motivated Hardware Engineer to lead Change Impact Analysis activities related to engineering design changes (ECOs/ECRs) across our cutting-edge networking and computing platforms. This role is critical to ensuring that all product modifications are seamlessly evaluated for their impact on hardware, mechanical design, system performance, and test coverage across the product lifecycle. You will work closely with R&D, mechanical engineering, manufacturing, quality, and test teams to assess risks, define mitigations, and maintain excellence in product integrity and testability.


What Youll Be Doing:

Review and define impact of engineering change ECO/ECR) across complex hardware systems.

Evaluating the impact of component, layout, and mechanical changes on hardware functionality, manufacturability, and testability.

Define alternative sources of components for products and products test stations.

Collaborating with cross-functional teams to ensure smooth implementation of changes without compromising product quality.

Supporting DFT (Design for Testability) requirements in the face of ongoing design changes.

Reviewing BOM and layout revisions and assessing ripple effects on power delivery, signal integrity, and thermal performance.

Maintaining change traceability and documentation to meet engineering and compliance standards.

Coordinating with manufacturing and operations teams to ensure product readiness and alignment with production timelines.

We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.
The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.
The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

We are looking for best-in-class Chip Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in designing our groundbreaking and innovative chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.

What you will be doing:

Join the Tel Aviv or Beer-Sheva group, working on RiscV processors platform.

Verification for chip blocks according to specifications under challenging constraints and with high orientation to power, area and performance.

Daily work might involve any or all aspects of chip development including verification, integration, debug

Work closely with firmware and other groups around the globe.

Were looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions that transform how our teams operate.
This is not a research role. Youll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short.
If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.